ReviewNeuron2025
From variants to mechanisms: Neurogenomics in the post-GWAS era.
Review in Neuron, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Massively parallel characterization and predictive modelling of neuronal regulatory variation.bioRxiv : the preprint server for biology · 2026Article
- Genetic and Cortical Cell-Type Liability Architecture of Autism.Research square · 2026Article
- MAC/MAB-RCS: An Integrative Regulatory Control Framework for Risk Stratification and Personalized Intervention in Addiction Psychiatry.Brain sciences · 2026Review
- Quo Vadis translational neuroscience?Translational neuroscience · 2026Review
- Genetic and Cortical Cell-Type Liability Architecture of Autism.bioRxiv : the preprint server for biology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Genome-wide association studies (GWASs) have identified thousands of variants associated with neuropsychiatric disorders (NPDs), including autism spectrum disorder (ASD), schizophrenia (SCZ), and Alzheimer's disease (AD). However, deciphering the "causal" biological mechanisms and pathways through which these variants act remains a major obstacle that hinders translational understanding of NPD pathogenesis. NPDs are highly polygenic with contributions from pleiotropic variants across the allelic spectrum, most of which reside within large haplotype blocks in non-coding regions of the genome. Successful mechanistic insight requires identifying disease-relevant cell types and states, mapping variant-to-gene effects, and integrating findings across loci, at scale, to pinpoint pathways of polygenic convergence. Here, we discuss functional genomic, machine learning, and experimental approaches to address each step of this daunting challenge. Ultimately, the convergence of results-across methodologies and within key underlying disease pathways-will be essential to realizing the promise of clinical translation for common, complex brain disorders.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.